https://yamcode.com/the-power-of-agentic-ai-how-autonomous-agents-are-revolutionizing-cyb-15 What is agentic AI, and how does it differ from traditional AI in cybersecurity? Agentic AI is a term used to describe autonomous, goal-oriented, systems that are able to perceive their environment, take decisions, and act to achieve specific goals. Agentic AI is a more flexible and adaptive version of traditional AI. Agentic AI is a powerful tool for cybersecurity. It allows continuous monitoring, real time threat detection and proactive response. How can agentic AI improve application security (AppSec?) practices? Agentic AI can revolutionize AppSec practices by integrating intelligent agents into the software development lifecycle (SDLC). These agents can monitor code repositories continuously, analyze commits to find vulnerabilities, and use advanced techniques such as static code analysis and dynamic testing. Agentic AI can also prioritize vulnerabilities based on their real-world impact and exploitability, providing contextually aware insights for remediation. What is a code-property graph (CPG) and why is it so important for agentic artificial intelligence in AppSec. A code property graph is a rich representation that shows the relationships between code elements such as variables, functions and data flows. Agentic AI can gain a deeper understanding of the application's structure and security posture by building a comprehensive CPG. This contextual awareness enables the AI to make more accurate and relevant security decisions, prioritize vulnerabilities effectively, and generate targeted fixes. What are the benefits of AI-powered automatic vulnerabilities fixing? AI-powered automatic vulnerability fixing leverages the deep understanding of a codebase provided by the CPG to not only identify vulnerabilities but also generate context-aware, non-breaking fixes automatically. The AI analyzes the code surrounding the vulnerability, understands the intended functionality, a